What would you do in this role?

Key Responsibilities

• Build foundational knowledge of business processes, workflows, and performance drivers across assigned functional areas.

• Develop a deep understanding of available data sources, data structures, definitions, and quality considerations.

• Partner with stakeholders to understand the “why” behind business questions and reporting needs.

• Create, modify, and maintain SQL queries to support standard reporting, ad-hoc analysis, and operational needs, primarily using data warehouse tables and occasionally external data sources.

• Build and maintain dashboards that clearly communicate KPIs, trends, and insights to technical and non-technical audiences.

• Translate analytical findings into clear, actionable summaries and recommendations.

• Map current-state workflows and reporting processes to identify inefficiencies, data gaps, or improvement opportunities.

• Identify patterns and trends in data that suggest opportunities for process improvement, automation, or enhanced decision-making.

• Support implementation of incremental improvements in reporting, analytics workflows, or data usage.

• Collaborate closely with Technology teams and other Analytics team members to extract, validate, and document accurate datasets.

• Communicate analytical requirements, data limitations, and findings clearly to stakeholders with varying levels of technical expertise.

• Manage assigned workstreams day-to-day, ensuring clarity on scope, timelines, and business impact.

• Other Duties - Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

Skills & Qualifications Required

• Strong logical thinking and problem-solving skills.

• High attention to detail with a focus on data accuracy and quality.

• Ability to gather, document, and validate business requirements with guidance.

• Positive, collaborative mindset with a focus on continuous improvement.

• Proactive learner who seeks to build both technical and business acumen.

• Self-starter who can prioritize tasks and learn quickly in a dynamic environment.

Education & Experience Required

• Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics, Engineering, or another quantitative discipline.

• Experience in data manipulation using SQL with large-scale data repositories.

• Experience in BI tools such as Tableau, Qlik, PowerBI, Sigma, or similar platforms.

• Exposure to or familiarity with Python for data analysis, data preparation, or exploratory analysis is a plus, but not required.

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